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Projects in Awesome Lists tagged with efficientnetb0

A curated list of projects in awesome lists tagged with efficientnetb0 .

https://github.com/luluw8071/asl-alphabet-detection

American Sign Language Alphabet Detection in Real Time using OpenCV-Mediapipe with EfficientNetB0 in PyTorch

american-sign-language deep-neural-networks efficientnetb0 image-classification python pytorch sign-language-recognition streamlit

Last synced: 30 Apr 2025

https://github.com/saif-gitreps/alpd-for-bd-plates

Automatic License Plate Detection and Recognition System for Challenging Bangladeshi License Plate using YOLOv8, fine-tuned EfficientNetB0 model and EasyOCR hybrid recognition.

cnn efficientnetb0 keras matplotlib opencv python yolov8

Last synced: 04 Oct 2025

https://github.com/msikorski93/alzheimer-s-disease-classification

A multi classification using scikit-learn and TensorFlow models on MRI scans of patient's brains.

alzheimers-disease classification efficientnetb0 inceptionv3 knn-classifier mri-brain random-forest scikit-learn svc tensorflow

Last synced: 01 May 2026

https://github.com/dev-khant/image-captioning

Image Captioning using EfficientNet and GRU

attention-mechanism efficientnetb0 gru

Last synced: 16 Mar 2025

https://github.com/codeby-hp/chest-cancer-classification

An end-to-end deep learning project for detecting Adenocarcinoma cancer from chest CT scan images.

aws cancer-classification cicd dagshub deep-learning docker dvc-pipeline efficientnetb0 keras mlflow-tracking python tensorflow

Last synced: 15 Apr 2026

https://github.com/furkantsnb/coalclassifie

CoalClassifier: A deep learning model for classifying coal types using EfficientNetB0-based transfer learning and fine-tuning techniques. This project is designed to accurately distinguish between Anthracite, Bituminous, Lignite, and Peat classes and is developed using TensorFlow/Keras

coal-classification computer-vision data-visualization efficientnetb0 image-classification keras python streamlit tensorflow

Last synced: 05 Apr 2026

https://github.com/xza85hrf/flag_prediction_project

This application predicts the name of a country (or countries) based on an input flag image. It uses advanced image processing techniques and deep learning models built with PyTorch to classify flags accurately.

cross-validation cuda data-augmentation docker efficientnetb0 flag-recognition image-classification machine-learning mixed-precision-training mobilenetv2 python pytorch resnet resnet-50 transfer-learning

Last synced: 15 Apr 2026

https://github.com/arpandatta011/deep-learning-for-pneumonia-detection-in-chest-x-rays

This project focuses on pneumonia detection using chest X-ray images and deep learning. It leverages transfer learning with the pre-trained VGG16 model to classify images as Pneumonia or Normal, aiming to assist in fast and accurate medical diagnosis.

deep-learning efficientnetb0 keras resnet-50 sklearn sklearn-metrics tensorflow vgg16

Last synced: 06 May 2026

https://github.com/nowrin-sanjana/efficientdeeplearningmodelsforalzheimer-sstagedetectionusingmri_images

This repository contains the implementation and documentation of deep learning models designed to classify the stages of Alzheimer's disease using MRI images. The project explores the effectiveness of pre-trained convolutional neural networks (CNNs) such as VGG16, ResNet50, and EfficientNetB0 in detecting and categorizing neurodegenerative disease

computer-vision efficientnetb0 keras python3 tensorflow vgg16

Last synced: 08 May 2026

https://github.com/nouhabenhamada/image-classification-is-it-real-or-generated-by-ai-

A Streamlit aaplication to distinguish between AI-generated and real images. Utilizing the TensorFlow framework, the core model is based on EfficientNetB0, which has been fine-tuned on a custom dataset containing both fake and real images.

classification efficientnetb0 streamlit tensorflow

Last synced: 08 May 2026

https://github.com/safwanshamsir99/dust-detection-cnn

Dust detection on solar photovoltaics panel using pre-trained CNN models

computer-vision efficientnetb0 resnet50 solar-panels vgg16

Last synced: 09 May 2026

https://github.com/etienne-bobo/food101_classification_tensorflow

The model employs mixed-precision training within the TensorFlow framework, utilizing transfer learning techniques that encompass both feature extraction and fine-tuning stages. This approach is executed on the EfficientNetB0 architecture

deep-learning efficientnetb0 feature-extraction fine-tuning tensorflow2 tranfer-learning

Last synced: 17 Jun 2026

https://github.com/allenpandas/yolov5-v6.2-classification

YOLOv5-v6.2-Classification-Models | 基于YOLOv5-v6.2版本创建的分类检测模型

classification classification-model efficientdet efficientnetb0 efficientnetb1 resnet-101 resnet-18 resnet-34 resnet-50 yolo yolov5

Last synced: 10 Jul 2025

https://github.com/alitahir-101/finnish-traffic-sign-recognition

Real-time Finnish traffic sign detection and classification using synthetic data, transfer learning, and advanced deep learning techniques.

ai autonomous-driving blender computer-vision dataset-augmentation deep-learning efficientnetb0 finnish-traffic-signs jamk opencv real-time-detection synthetic-data traffic-sign-recognition transfer-learning yolo

Last synced: 10 May 2026

https://github.com/himanshumahajan138/transfervision

Transfer learning for image classification using pre-trained models like ResNet50, ResNet100, EfficientNetB0, and VGG16 in Keras. Fine-tunes the last layers, applies image augmentation, and evaluates with Precision, Recall, AUC, F1 score, and early stopping for improved performance.

adam-optimizer batch-normalization data-pre-processing deep-learning early-stopping efficientnetb0 image-augmentation image-classification keras multiclass-classification precision-recall-auc-f1-score regularization relu-activation resnet100 resnet50 transfer-learning vgg16

Last synced: 06 Mar 2025

https://github.com/janaghoniem/fruits-recognition-using-deep-learning-with-data-augmentation

A deep learning project for classifying 130+ fruits using EfficientNet, ResNet, and MobileNet with custom augmentations and SE blocks. Built on the Fruits-360 dataset.

background-replacement cnn data-augmentation deep-learning efficientnetb0 fruits360 image-classification image-recognition keras mobilenetv2 resnet-50 squeeze-and-excitation tensorflow transfer-learning

Last synced: 14 Apr 2026